Indivio (S17)
Customize your digital video ads to be more relevant and improve performance quickly with creative testing and insights.

Full-Stack Software Engineer

$125k - $175k0.25% - 2.00%

Remote
Full-time
3+ years
About Indivio

Indivio is a platform where brands can customize their digital video ads to be more relevant and improve performance quickly with creative testing and insights. Re-imagining the creative workflow starting with data, Indivio provides software automation tools and infrastructure to simplify data-driven video ad creation, empowering brands to connect with each of their audiences using relevant creative.

Indivio is a Facebook Marketing Partner. See more: https://www.indiv.io/gallery

About the role

Skills: Amazon Web Services (AWS), JavaScript, Python, Flask, Git, Kubernetes, RabbitMQ, Redis, Redshift, Windows, Distributed Systems, Docker, Microservices, Serverless, Computer Vision, ETL, PostgreSQL, React

Are you a person who gets up excited to solve complex problems with code? Do you take pride and satisfaction in helping your customers succeed? Are you resourceful, organized, and experienced at writing maintainable code?

As a founding software engineer at Indivio, you will have a “seat at the table” and work directly with the co-founders to tackle some of the martech industry’s biggest challenges with democratizing access to creative content personalization. Whether it’s on the front-end developing UIs to streamline collaboration workflows, or on the back-end developing distributed rendering / data processing / machine learning algorithms, you will be using the latest technologies to innovate and grow with a team that is not only passionate about automation technology, but about building a supportive, world-class engineering organization.

Technology

Indivio manages cloud infrastructure for personalization. This includes automated video rendering, data processing, and publishing services, exposed via an API that powers partner applications as well as our own SPA for streamlining data-driven video creation workflows. We use machine learning and AI to process video content and performance data to better understand what kind of content works in personalized video.

Technologies we use: Javascript ES6/Typescript, Python 2/3, Windows/Linux VMs + Containers + Serverless, PostgreSQL, Redis, RabbitMQ, AWS/Azure/GCP, React SPA

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